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Student shield

student-shield-ai.vercel.app

StudentShield – Fake Internship & Job Offer Detection System.

EducationBy Sathwik Tarigoppula

#learning
#study
#security
#penetrate

Public page checked 14 Oct 2026

Details supplied by the project creator. The review date refers to the public destination, not independent verification of every claim.

About the project

StudentShield – Fake Internship & Job Offer Detection System Project Team: student shield AI Technology: Python, Flask, Machine Learning, HTML, CSS, JavaScript Project Overview StudentShield is an AI/ML-powered web application developed to help students detect potentially fraudulent internship opportunities and job offers. With fake recruitment messages and misleading placement opportunities becoming increasingly common, the system aims to provide students with an accessible way to assess the credibility of offers before sharing personal information or making payments. Key Features - Offer Risk Analysis: Evaluates submitted internship and job offer information to identify potential warning signs. - PDF Scanning: Supports scanning offer documents in PDF format for analysis. - Risk Assessment: Presents risk indicators to help users understand the potential threat associated with an offer. - Confidence Indicators: Displays confidence-related information alongside the analysis results. - Web-Based Interface: Provides a user-friendly platform for submitting offers and reviewing results. Technology Stack - Backend: Python and Flask - Machine Learning: Used for offer analysis and fraud-risk assessment - Frontend: HTML, CSS, and JavaScript - Document Processing: PDF scanning and extraction workflow

What you can use it for

Fake internship detection and verify spam mails

Who it is for

StudentShield is primarily intended for college students, fresh graduates, and job seekers who want to identify potentially fraudulent internship offers, job opportunities, and recruitment messages. It is also useful for college placement cells, career guidance departments, and educational institutions seeking to raise awareness about recruitment scams.

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